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42 articles for “S. Suresh”
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Research ArticleOpen accessIn the author namesEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDFCite
Research ArticleOpen accessIn the author namesReal MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation ValidationRavi Varma B., N. Suresh Babu, Santhosh Kumar K. P., Shailesh SivanReal number codes play a crucial role in correcting errors within communication systems that involve the transmission of analog signals or continuous data. Among these codes, Maximum Distance Separable (MDS) codes stand out as highly efficient for error correction. The present research paper is on the construction of a class of real number MDS codes for any desired dimension. The … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Feb 2026 · 1,347 accessesView PDFCite
Research ArticleOpen accessIn the author namesPreventing Deforestation in the Indian Landscape Through Neural Network-Based Intelligence Using Sound Event Detection and Advanced Feature Extraction TechniquesSallauddin Mohmmad, Suresh Kumar SanampudiForests play a vital role in maintaining ecological balance, regulating the climate, and conserving biodiversity. However, India’s forest landscape has witnessed significant changes between 1980 and 2024 due to deforestation, afforestation, and evolving conservation strategies. To address the challenges associated with forest monitoring, we proposed a model based on Sound Event Detection using a dataset comprising four classes: chainsaw sounds, … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,899 accessesView PDFCite
Research ArticleOpen accessIn the author namesNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,860 accessesView PDFCite
Research ArticleOpen accessIn the author namesSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Recommendation-Based Contextual Model for Talent AcquisitionChannabasamma A., Yeresime SureshIt is important to assist the job seekers in selecting the perfect jobs, which suit candidates' current skills and career objectives. Given the job description and resumes in the unstructured form, choosing the best job manually is a tedious task, so there is a need for an automated system to deal with raw data. The extraction of structured information from … …Journal of Computer Science, Vol. 18, Issue 7 · 20 Jul 2022 · 6,122 accessesView PDFCite
Research ArticleOpen accessIn the author namesWhite Light Generation in Dy3+-Doped Sodium Lead Alumino Borosilicate Glasses for W-LED ApplicationsK. Vijaya Babu, A. Subba Rao, V. Madhuri, K. SureshExcitation and emission spectra of sodium lead alumino borosilicate glass doped with different concentrations of Dy3+ have been reported. The concentration of Dy3+ were varied from 0.5 to 1.5 mol%. As a result of 385 nm excitation wavelength, the luminescence spectra showed three characteristic bands at 482 nm and 575 nm and 665 nm. These absorption bands were attributed to … …Journal of Aircraft and Spacecraft Technology, Vol. 4, Issue 1 · 3 Jun 2020 · 6,857 accessesView PDFCite
Research ArticleOpen accessIn the author namesDecentralized Predictive Secure VS Placement in Cloud EnvironmentSuresh Baliram Rathod, Vuyyuru Krishna ReddyHosts in distributed cloud environment configured with Local Resource Monitors (LRM) that runs autonomously, monitors underlying host’s resource usage and balances underlying host’s resource usage by migrating Virtual Machine (VM) to other hosts. LRM takes decision for VM migration at fixed interval considering own current CPU usage and the other hosts CPU usage. The peer hosts unawares about the decision … …Journal of Computer Science, Vol. 14, Issue 3 · 21 Mar 2018 · 7,905 accessesView PDFCite
Research ArticleOpen accessIn the author namesOptimizing the Newspaper Distribution Scenarios using Genetic Algorithm: A Case Study of IndiaSachin Suresh Kamble, Rakesh Raut, Shradha Ashok GawankarThis paper attempts to optimize the various newspaper distribution scenario as observed in India. It found from the literature that earlier research work carried out in optimizing the vehicle routing networks problem using time window and scope was limited to distribution from newspaper printing location to the vendor point of distribution. This paper focuses on the distribution of newspaper from … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 8,187 accessesView PDFCite
Research ArticleOpen accessIn the author namesPhenotypic ESBL Detection in Acinetobacter baumannii: A Real ChallengeGeetanjali M. Litake, Vikram S. Ghole, Krishna B. Niphadkar, Suresh G. JoshiClinical Laboratory Standards Institute (CLSI) recommends two-step approach for extended-spectrum-β-lactamase (ESBL) detection which includes the screening of recommended agents and the phenotypic confirmation of ESBL using a combination of screening agent and β-lactamase inhibitor. To investigate this approach, we screened 145 β-lactamase-producing Acinetobacter baumannii isolates for ESBL from tracheal secretions using double disk synergy test (DDST) and phenotypic confirmatory disc … …American Journal of Infectious Diseases, Vol. 11, Issue 3 · 19 Oct 2015 · 7,771 accessesView PDFCite